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|
#!/usr/bin/env ruby -w
# encoding: UTF-8
#
# = MonitoringStatistics.rb -- PostRunner - Manage the data from your Garmin sport devices.
#
# Copyright (c) 2016 by Chris Schlaeger <cs@taskjuggler.org>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of version 2 of the GNU General Public License as
# published by the Free Software Foundation.
#
require 'fit4ruby'
require 'postrunner/DailySleepAnalyzer'
require 'postrunner/DailyMonitoringAnalyzer'
require 'postrunner/FlexiTable'
module PostRunner
# This class can be used to generate reports for sleep data. It uses the
# DailySleepAnalyzer class to compute the data and generates the report for
# a certain time period.
class MonitoringStatistics
include Fit4Ruby::Converters
# Create a new MonitoringStatistics object.
# @param monitoring_files [Array of Fit4Ruby::Monitoring_B] FIT files
def initialize(monitoring_files)
@monitoring_files = monitoring_files
# Week starts on Monday
@first_day_of_week = 1
end
# Generate a report for a certain day.
# @param day [String] Date of the day as YYYY-MM-DD string.
def daily(day)
sleep_analyzer = DailySleepAnalyzer.new(@monitoring_files, day,
+12 * 60 * 60)
monitoring_analyzer = DailyMonitoringAnalyzer.new(@monitoring_files, day)
str = "Daily Monitoring Report for #{day}\n\n" +
"#{daily_goals_table(monitoring_analyzer)}\n" +
"#{daily_stats_table(monitoring_analyzer, sleep_analyzer)}\n"
if sleep_analyzer.sleep_cycles.empty?
str += 'No sleep data available for this day'
else
str += "Sleep Statistics for " +
"#{sleep_analyzer.window_start_time.strftime('%Y-%m-%d')} - " +
"#{sleep_analyzer.window_end_time.strftime('%Y-%m-%d')}\n\n" +
daily_sleep_cycle_table(sleep_analyzer).to_s
end
str
end
# Generate a report for a certain day.
# @param day [String] Date of the day as YYYY-MM-DD string.
def daily_html(day, doc)
sleep_analyzer = DailySleepAnalyzer.new(@monitoring_files, day,
+12 * 60 * 60)
monitoring_analyzer = DailyMonitoringAnalyzer.new(@monitoring_files, day)
doc.div {
doc.h2("Daily Monitoring Report for #{day}")
daily_goals_table(monitoring_analyzer).to_html(doc)
doc.br
daily_stats_table(monitoring_analyzer, sleep_analyzer).to_html(doc)
if sleep_analyzer.sleep_cycles.empty?
doc.h3('No sleep data available for this day')
else
doc.h2("Sleep Statistics for " +
"#{sleep_analyzer.window_start_time.strftime('%Y-%m-%d')} - " +
"#{sleep_analyzer.window_end_time.strftime('%Y-%m-%d')}")
daily_sleep_cycle_table(sleep_analyzer).to_html(doc)
end
}
end
# Generate a report for a certain week.
# @param start_day [String] Date of a day in that week as YYYY-MM-DD string.
def weekly(start_day)
"Monitoring Statistics for the week of " +
"#{start_day.strftime('%Y-%m-%d')}\n\n" +
weekly_goal_table(start_day).to_s + "\n" +
weekly_sleep_table(start_day).to_s
end
# Generate a report for a certain month.
# @param day [String] Date of a day in that months as YYYY-MM-DD string.
def monthly(day)
day_as_time = Time.parse(day)
year = day_as_time.year
month = day_as_time.month
last_day_of_month = Date.new(year, month, -1).day
"Monitoring Statistics for #{day_as_time.strftime('%B %Y')}\n\n" +
monthly_goal_table(year, month, last_day_of_month).to_s + "\n" +
monthly_sleep_table(year, month, last_day_of_month).to_s
end
private
def percent(value, total)
"#{'%.0f' % ((value * 100.0) / total)}%"
end
def cell_right_aligned(table, text)
table.cell(text, { :halign => :right })
end
def time_as_hm(t, utc_offset)
t.localtime(utc_offset).strftime('%H:%M')
end
def daily_sleep_cycle_table(analyzer)
ti = FlexiTable.new
ti.head
ti.row([ 'Cycle', 'From', 'To', 'Duration', 'REM Sleep',
'Light Sleep', 'Deep Sleep'])
ti.body
utc_offset = analyzer.utc_offset
format = { :halign => :right }
totals = Hash.new(0)
last_to_time = nil
analyzer.sleep_cycles.each_with_index do |c, idx|
if last_to_time && c.from_time > last_to_time
# We have a gap in the sleep cycles.
ti.cell('Wake')
cell_right_aligned(ti, time_as_hm(last_to_time, utc_offset))
cell_right_aligned(ti, time_as_hm(c.from_time, utc_offset))
cell_right_aligned(ti, "(#{secsToHM(c.from_time - last_to_time)})")
ti.cell('')
ti.cell('')
ti.cell('')
ti.new_row
end
ti.cell((idx + 1).to_s, format)
ti.cell(c.from_time.localtime(utc_offset).strftime('%H:%M'), format)
ti.cell(c.to_time.localtime(utc_offset).strftime('%H:%M'), format)
duration = c.to_time - c.from_time
totals[:duration] += duration
ti.cell(secsToHM(duration), format)
totals[:rem] += c.total_seconds[:rem]
ti.cell(secsToHM(c.total_seconds[:rem]), format)
light_sleep = c.total_seconds[:nrem1] + c.total_seconds[:nrem2]
totals[:light_sleep] += light_sleep
ti.cell(secsToHM(light_sleep), format)
totals[:deep_sleep] += c.total_seconds[:nrem3]
ti.cell(secsToHM(c.total_seconds[:nrem3]), format)
ti.new_row
last_to_time = c.to_time
end
ti.foot
ti.cell('Totals')
ti.cell(analyzer.sleep_cycles[0].from_time.localtime(utc_offset).
strftime('%H:%M'), format)
ti.cell(analyzer.sleep_cycles[-1].to_time.localtime(utc_offset).
strftime('%H:%M'), format)
ti.cell(secsToHM(totals[:duration]), format)
ti.cell(secsToHM(totals[:rem]), format)
ti.cell(secsToHM(totals[:light_sleep]), format)
ti.cell(secsToHM(totals[:deep_sleep]), format)
ti.new_row
ti
end
def daily_goals_table(monitoring_analyzer)
t = FlexiTable.new
t.head
t.row([ 'Steps', 'Intensity Minutes', 'Floors Climbed' ])
t.body
t.set_column_attributes(Array.new(3, { :halign => :center}))
steps_distance_calories = monitoring_analyzer.steps_distance_calories
steps = steps_distance_calories[:steps]
steps_goal = monitoring_analyzer.steps_goal
t.cell(steps)
intensity_minutes = weekly_intensity_minutes(monitoring_analyzer)
t.cell(intensity_minutes)
floors = monitoring_analyzer.total_floors
floors_climbed = floors[:floors_climbed]
t.cell(floors_climbed)
t.new_row
t.cell("#{percent(steps, steps_goal)} of daily goal #{steps_goal}")
t.cell("#{percent(intensity_minutes, 150)} of weekly goal 150")
t.cell("#{percent(floors_climbed, 10)} of daily goal 10")
t.new_row
t
end
def daily_stats_table(monitoring_analyzer, sleep_analyzer)
t = FlexiTable.new
t.set_column_attributes(Array.new(4, { :halign => :center}))
t.head
t.row([ 'Distance', 'Calories', 'Floors descended',
'Resting Heart Rate' ])
t.body
steps_distance_calories = monitoring_analyzer.steps_distance_calories
t.cell("#{'%.1f' % (steps_distance_calories[:distance] / 1000.0)} km")
t.cell("#{steps_distance_calories[:calories].to_i}")
floors = monitoring_analyzer.total_floors
t.cell("#{floors[:floors_descended]}")
t.cell("#{sleep_analyzer.resting_heart_rate} BPM")
t
end
def weekly_goal_table(start_day)
t = FlexiTable.new
left = { :halign => :left }
right = { :halign => :right }
t.set_column_attributes([ left ] + [ right ] * 10)
t.head
t.row([ 'Day', 'Steps', '% of', 'Goal', 'Intens.', '% of',
'Floors', '% of', 'Floors', 'Dist.', 'Cals.' ])
t.row([ '', '', 'Goal', 'Steps', 'Minutes', '150', 'clmbd.', '10',
'descd.', 'm', 'kCal' ])
t.body
totals = Hash.new(0)
counted_days = 0
intensity_minutes_sum = 0
0.upto(7) do |dow|
break if (time = start_day + 24 * 60 * 60 * dow) > Time.now
day_str = time.strftime('%a')
t.cell(day_str)
analyzer = DailyMonitoringAnalyzer.new(@monitoring_files,
time.strftime('%Y-%m-%d'))
steps_distance_calories = analyzer.steps_distance_calories
steps = steps_distance_calories[:steps]
totals[:steps] += steps
steps_goal = analyzer.steps_goal
totals[:steps_goal] += steps_goal
t.cell(steps)
t.cell(percent(steps, steps_goal))
t.cell(steps_goal)
intensity_minutes =
analyzer.intensity_minutes[:moderate_minutes] +
2 * analyzer.intensity_minutes[:vigorous_minutes]
intensity_minutes_sum += intensity_minutes
totals[:intensity_minutes] += intensity_minutes
t.cell(intensity_minutes.to_i)
t.cell(percent(intensity_minutes_sum, 150))
floors = analyzer.total_floors
floors_climbed = floors[:floors_climbed]
totals[:floors_climbed] += floors_climbed
t.cell(floors_climbed)
t.cell(percent(floors_climbed, 10))
floors_descended = floors[:floors_descended]
totals[:floors_descended] += floors_descended
t.cell(floors_descended)
distance = steps_distance_calories[:distance]
totals[:distance] += distance
t.cell(distance.to_i)
calories = steps_distance_calories[:calories]
totals[:calories] += calories
t.cell(calories.to_i)
t.new_row
counted_days += 1
end
t.foot
t.cell('Totals')
t.cell(totals[:steps])
t.cell('')
t.cell(totals[:steps_goal])
t.cell(totals[:intensity_minutes].to_i)
t.cell('')
t.cell(totals[:floors_climbed])
t.cell('')
t.cell(totals[:floors_descended])
t.cell(totals[:distance].to_i)
t.cell(totals[:calories].to_i)
t.new_row
if counted_days > 0
t.cell('Averages')
t.cell((totals[:steps] / counted_days).to_i)
t.cell(percent(totals[:steps], totals[:steps_goal]))
t.cell((totals[:steps_goal] / counted_days).to_i)
t.cell((totals[:intensity_minutes] / counted_days).to_i)
t.cell(percent(totals[:intensity_minutes], (counted_days / 7.0) * 150))
t.cell((totals[:floors_climbed] / counted_days).to_i)
t.cell(percent(totals[:floors_climbed] / counted_days, 10))
t.cell((totals[:floors_descended] / counted_days).to_i)
t.cell('%.0f' % (totals[:distance] / counted_days))
t.cell((totals[:calories] / counted_days).to_i)
end
t
end
def monthly_goal_table(year, month, last_day_of_month)
t = FlexiTable.new
left = { :halign => :left }
right = { :halign => :right }
t.set_column_attributes([ left ] + [ right ] * 10)
t.head
t.row([ 'Day', 'Steps', '% of', 'Goal', 'Wk. Int.', '% of',
'Floors', '% of', 'Floors', 'Dist.', 'Cals.' ])
t.row([ '', '', 'Goal', 'Steps', 'Minutes', '150', 'clmbd.', '10',
'descd.', 'm', 'kCal' ])
t.body
totals = Hash.new(0)
counted_days = 0
intensity_minutes_sum = 0
1.upto(last_day_of_month).each do |dom|
break if (time = Time.new(year, month, dom)) > Time.now
day_str = time.strftime('%d %a')
t.cell(day_str)
analyzer = DailyMonitoringAnalyzer.new(@monitoring_files,
"#{year}-#{month}-#{dom}")
steps_distance_calories = analyzer.steps_distance_calories
steps = steps_distance_calories[:steps]
totals[:steps] += steps
steps_goal = analyzer.steps_goal
totals[:steps_goal] += steps_goal
t.cell(steps)
t.cell(percent(steps, steps_goal))
t.cell(steps_goal)
if dom == 1
intensity_minutes = weekly_intensity_minutes(analyzer)
else
intensity_minutes_sum = 0 if time.wday == @first_day_of_week
intensity_minutes =
analyzer.intensity_minutes[:moderate_minutes] +
2 * analyzer.intensity_minutes[:vigorous_minutes]
end
intensity_minutes_sum += intensity_minutes
totals[:intensity_minutes] += intensity_minutes
t.cell(intensity_minutes_sum.to_i)
t.cell(percent(intensity_minutes_sum, 150))
floors = analyzer.total_floors
floors_climbed = floors[:floors_climbed]
totals[:floors_climbed] += floors_climbed
t.cell(floors_climbed)
t.cell(percent(floors_climbed, 10))
floors_descended = floors[:floors_descended]
totals[:floors_descended] += floors_descended
t.cell(floors_descended)
distance = steps_distance_calories[:distance]
totals[:distance] += distance
t.cell(distance.to_i)
calories = steps_distance_calories[:calories]
totals[:calories] += calories
t.cell(calories.to_i)
t.new_row
counted_days += 1
end
t.foot
t.cell('Totals')
t.cell(totals[:steps])
t.cell('')
t.cell(totals[:steps_goal])
t.cell(totals[:intensity_minutes].to_i)
t.cell('')
t.cell(totals[:floors_climbed])
t.cell('')
t.cell(totals[:floors_descended])
t.cell(totals[:distance].to_i)
t.cell(totals[:calories].to_i)
t.new_row
if counted_days > 0
t.cell('Averages')
t.cell((totals[:steps] / counted_days).to_i)
t.cell(percent(totals[:steps], totals[:steps_goal]))
t.cell((totals[:steps_goal] / counted_days).to_i)
t.cell((totals[:intensity_minutes] / counted_days).to_i)
t.cell(percent(totals[:intensity_minutes], (counted_days / 7.0) * 150))
t.cell((totals[:floors_climbed] / counted_days).to_i)
t.cell(percent(totals[:floors_climbed] / counted_days, 10))
t.cell((totals[:floors_descended] / counted_days).to_i)
t.cell('%.0f' % (totals[:distance] / counted_days))
t.cell((totals[:calories] / counted_days).to_i)
end
t
end
def weekly_sleep_table(start_day)
t = FlexiTable.new
left = { :halign => :left }
right = { :halign => :right }
t.set_column_attributes([ left ] + [ right ] * 6)
t.head
t.row([ 'Date', 'Total Sleep', 'Cycles', 'REM Sleep', 'Light Sleep',
'Deep Sleep', 'RHR' ])
t.body
totals = Hash.new(0)
counted_days = 0
rhr_days = 0
0.upto(7) do |dow|
break if (time = start_day + 24 * 60 * 60 * dow) > Time.now
day_str = time.strftime('%a')
t.cell(day_str)
analyzer = DailySleepAnalyzer.new(@monitoring_files,
time.strftime('%Y-%m-%d'),
-12 * 60 * 60)
if (analyzer.sleep_cycles.empty?)
5.times { t.cell('-') }
else
totals[:total_sleep] += analyzer.total_sleep
totals[:cycles] += analyzer.sleep_cycles.length
totals[:rem_sleep] += analyzer.rem_sleep
totals[:light_sleep] += analyzer.light_sleep
totals[:deep_sleep] += analyzer.deep_sleep
counted_days += 1
t.cell(secsToHM(analyzer.total_sleep))
t.cell(analyzer.sleep_cycles.length)
t.cell(secsToHM(analyzer.rem_sleep))
t.cell(secsToHM(analyzer.light_sleep))
t.cell(secsToHM(analyzer.deep_sleep))
end
if (rhr = analyzer.resting_heart_rate) && rhr > 0
t.cell(rhr)
totals[:rhr] += rhr
rhr_days += 1
else
t.cell('-')
end
t.new_row
end
t.foot
t.cell('Averages')
if counted_days > 0
t.cell(secsToHM(totals[:total_sleep] / counted_days))
t.cell('%.1f' % (totals[:cycles].to_f / counted_days))
t.cell(secsToHM(totals[:rem_sleep] / counted_days))
t.cell(secsToHM(totals[:light_sleep] / counted_days))
t.cell(secsToHM(totals[:deep_sleep] / counted_days))
else
5.times { t.cell('-') }
end
if rhr_days > 0
t.cell('%.0f' % (totals[:rhr] / rhr_days))
else
t.cell('-')
end
t.new_row
t
end
def monthly_sleep_table(year, month, last_day_of_month)
t = FlexiTable.new
left = { :halign => :left }
right = { :halign => :right }
t.set_column_attributes([ left ] + [ right ] * 6)
t.head
t.row([ 'Date', 'Total Sleep', 'Cycles', 'REM Sleep', 'Light Sleep',
'Deep Sleep', 'RHR' ])
t.body
totals = Hash.new(0)
counted_days = 0
rhr_days = 0
1.upto(last_day_of_month).each do |dom|
break if (time = Time.new(year, month, dom)) > Time.now
day_str = time.strftime('%d %a')
t.cell(day_str)
analyzer = DailySleepAnalyzer.new(@monitoring_files,
"#{year}-#{month}-#{dom}",
-12 * 60 * 60)
if (analyzer.sleep_cycles.empty?)
5.times { t.cell('-') }
else
totals[:total_sleep] += analyzer.total_sleep
totals[:cycles] += analyzer.sleep_cycles.length
totals[:rem_sleep] += analyzer.rem_sleep
totals[:light_sleep] += analyzer.light_sleep
totals[:deep_sleep] += analyzer.deep_sleep
counted_days += 1
t.cell(secsToHM(analyzer.total_sleep))
t.cell(analyzer.sleep_cycles.length)
t.cell(secsToHM(analyzer.rem_sleep))
t.cell(secsToHM(analyzer.light_sleep))
t.cell(secsToHM(analyzer.deep_sleep))
end
if (rhr = analyzer.resting_heart_rate) && rhr > 0
t.cell(rhr)
totals[:rhr] += rhr
rhr_days += 1
else
t.cell('-')
end
t.new_row
end
t.foot
t.cell('Averages')
if counted_days > 0
t.cell(secsToHM(totals[:total_sleep] / counted_days))
t.cell('%.1f' % (totals[:cycles].to_f / counted_days))
t.cell(secsToHM(totals[:rem_sleep] / counted_days))
t.cell(secsToHM(totals[:light_sleep] / counted_days))
t.cell(secsToHM(totals[:deep_sleep] / counted_days))
else
5.times { t.cell('-') }
end
if rhr_days > 0
t.cell('%.0f' % (totals[:rhr] / rhr_days))
else
t.cell('-')
end
t.new_row
t
end
def weekly_intensity_minutes(monitoring_analyzer)
current_date = monitoring_analyzer.window_start_time.localtime
intensity_minutes = 0
# Get intensity minutes for previous days of the current week.
if current_date.wday != @first_day_of_week
1.upto(5) do |i|
date = current_date - 24 * 60 * 60 * i
ma = DailyMonitoringAnalyzer.new(@monitoring_files,
date.strftime('%Y-%m-%d'))
intensity_minutes +=
ma.intensity_minutes[:moderate_minutes] +
2 * ma.intensity_minutes[:vigorous_minutes]
break if date.wday == @first_day_of_week
end
end
# Finally add the intensity minutes of the current day.
intensity_minutes +=
monitoring_analyzer.intensity_minutes[:moderate_minutes] +
2 * monitoring_analyzer.intensity_minutes[:vigorous_minutes]
intensity_minutes
end
end
end
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